We are hiring a Senior Data Engineer (Databricks, Power BI) in Vietnam to build trusted analytics using scalable lakehouse patterns and high-performing dashboards. You will craft data models, deliver Databricks pipelines in Python/PySpark, and enforce governance so reports remain secure and dependable. Apply today and help keep production reporting running smoothly.
Responsibilities
- Convert business requirements into BI designs and analytics-ready data models
- Build and tune Power BI dashboards, reports, datasets, and semantic models
- Engineer production pipelines in Databricks leveraging Python, PySpark, and SQL
- Roll out Medallion Architecture and other lakehouse patterns across layers
- Coordinate releases with Git, Power BI Deployment Pipelines, and CI/CD practices
- Enforce security via RLS, RBAC, and Unity Catalog access controls
- Resolve data and reporting problems, optimize performance, and raise data quality
Requirements
- Demonstrated expertise with Power BI Desktop and Power BI Service
- Deep knowledge of DAX, including troubleshooting and performance optimization
- Capability in Power Query (M) for data shaping and transformation work
- Strong command of SQL for complex querying, transformation, and analytical modeling
- Hands-on Python skills for maintainable, production-ready data solutions
- Practical experience using PySpark to build scalable transformations in Databricks
- Track record delivering Databricks lakehouse pipelines and production workloads
- Proficiency with Git plus structured release and deployment practices
Nice to have
- Databricks Asset Bundles experience, including YAML-based workflow configuration
- Exposure to GitHub Actions or comparable CI/CD tooling for validation and deployment
- Familiarity with Azure Data Lake Storage and common secrets management approaches
